搜索资源列表
RBPNN
- 利用RBPNN径向基概率神经网络的一个例子，通过该例子可以对RBFNN有个清晰认识-use probabilistic neural network-based one example, through the examples of RBFNN a clear understanding of
pdaf-demo
- Probabilistic Data Association Filter跟踪算法示例-Probabilistic Data Association Filter Tracking Algorithm example
plsa
- Probabilistic Latent Semantic Analysis模型实现，用于目标识别或文本识别
houghForest
- 这个是Dr. Juergan Gall写的检测识别图片中的物体，有关的文章名字是Class-specific Hough Forests for Object detection. hough森林方法结合了随机森林和Hough选票去估计物体中心的可能。-A method for the detection of instances of an object class.A class-specific Hough forest is a random forest that maps image
plsa
- 概率潜在语义分析Probabilistic Latent semantic alnalysis，完整程序包-Probabilistic Latent Semantic Analysis Probabilistic Latent semantic alnalysis, complete package
drtoolbox.tar
- 这是一个MATLAB工具箱包括32个降维程序，主要包括 pca,lda,MDS等十几个程序包，对于图像处理非常具有参考价值- ，This Matlab toolbox implements 32 techniques for dimensionality reduction. These techniques are all available through the COMPUTE_MAPPING function or trhough the GUI. The following techn
fusion
- 一种概率的方法去处理TOF深度照相机，包含如何进行标定，处理图片，以及与彩色图片的融合-A probabilistic approach to deal with the TOF depth of the camera, including how to calibrate, process images, as well as the integration of color images
AP
- 外国人在<科学>杂志上发表的一篇关于AP算法的文章,很有启发意义-Affinity propagation (AP) can be viewed as a generalization of the vertex substitution heuristic (VSH), whereby probabilistic exemplar substitutions are performed concurrently. Although results on small data
FLoSS
- 关于吸引传播算法的扩展应用的一片文章,对于图像研究很有启发意义-Subspace segmentation is the task of segmenting data lying on multiple linear subspaces. Its applications in computer vision include motion segmentation in video, structure-from-motion, and image clustering. In t
Message-Passing-Algorithms
- 一本将基于AP传播算法的半监督聚类的算方法书.对于聚类研究的很有帮助-The Uncapacitated Facility Location Prob- lem (UFLP) is one of the most widely stud- ied discrete location problems, whose appli- cations arise in a variety of settings. We tackle the UFLP using probabilisti
Probabilistic-Robotics
- 对各种算法进行了详细的介绍 包括粒子滤波算法 卡尔曼滤波 等等 还对粒子滤波算法进行了改进-A variety of algorithms are described in detail, including Kalman filtering, and so the particle filter algorithm has also been improved particle filter algorithm
Hough-transforms-overview
- 概率方法霍夫变换直线提取的综述文章，其中也列举了一些方法和他们之间的比较-probabilistic and nonprobabilistic Hough transforms overview and comparisons
Motion-Deblurring--
- 我们提出一种新的算法,消除运动模糊的一个 图像。我们的方法计算一个使用unied deblurred形象 概率模型的估计和unblurred都模糊的内核 图像复原。我们报告一个常见的原因分析 工件在当前去模糊方法发现,然后介绍 一些新颖的条款在这个概率模型进行了研究 通过我们的分析。 -We present a new algorithm for removing motion blur from a single image. Our method comput
Probabilistic_Covariance_Track
- 2011年IEEE T.的关于Real-Time Probabilistic Covariance Tracking With Efficient Model Update，请大家分享-2011 IEEE T. on Real-Time Probabilistic Covariance Tracking With Efficient Model Update, please share
ppbNakagami
- 处理Gamma乘性噪声的PPB方法，考虑了非局部patch的相似性，可处理SAR图像去噪。-The PPB method for multicative noise removal, which based on the Probabilistic Patch similarity.
main
- 图像处理 实现去噪 灰度化 边缘检测等等功能,以及概率霍夫变换和RGB颜色通道检测相结合的方法-Image processing to achieve de-noising gray edge detection and so on, as well as methods and probabilistic Hough transform RGB color channel detection combining
MulticameraPeopleTrackCode
- 多相机的人员检测跟踪系统。包含Multicamera People Tracking with a Probabilistic Occupancy Map原文及其代码。-Multi-camera personnel detection and tracking system. Contains Multicamera People Tracking with a Probabilistic Occupancy Map text and code.
ppbNakagami
- Probabilistic Patch-Based Weights去噪方法，2009年IEEE文章，用于SAR图像去噪效果较好。-Probabilistic Patch-Based Weights denoising method, 2009 IEEE article for SAR image denoising.
drtoolbox.tar
- 用于降维的matlab工具包，包括PCA，LDA，LLE，等-Matlab Toolbox for Dimensionality Reduction Principal Component Analysis (PCA) Probabilistic PCA Factor Analysis (FA) Classical multidimensional scaling (MDS) Sammon mapping Linear Discriminant Analysis (LDA
face-fast-track
- 基于时空上下文模型的人脸快速追踪算法。采用概率置信模型和傅里叶频谱进行定位，还包含目标尺度变化，速度很快。-Face model based on temple-spatial context of rapid tracing algorithm. Confidence probabilistic model and the Fourier spectrum positioning also includes object scale changes quickly.